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      Social and anxiety-like behaviors contribute to nicotine self-administration in adolescent outbred rats

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          Abstract

          Both emotional and social traits interact with genetic factors to influence smoking behavior. We previously established a socially acquired nicotine intravenous self-administration model where social learning of a nicotine-associated odor cue reversed conditioned flavor aversion and promoted nicotine intake. In this study, we first phenotyped ~800 adolescent heterogeneous stock rats in open field, novel object interaction, social interaction, elevated plus maze, and marble burying behaviors. These rats were then phenotyped on socially acquired nicotine self-administration. We found 243 significant correlations between different behavioral tests. Principal component regression analysis found that ~10–20% of the variance in nicotine-related measures, such as intake during the first or the last three fixed-ratio sessions, the progressive ratio session, and reinstatement behavior, can be explained by variations in behavioral traits. Factors corresponding to social behavior and anxiety were among the strongest predictors of nicotine intake and reinstatement of nicotine-seeking behavior. We also found many sex differences in behavioral measures. These data indicated that the genetic diversity of this population, in combination with social behaviour and anxiety, are significant contributors to the divergent nicotine self-administration behavior and indicated a high probability of discovering sex-specific genetic mechanisms for nicotine intake in future genome-wide association studies.

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          Progressive ratio schedules in drug self-administration studies in rats: a method to evaluate reinforcing efficacy.

          Drug self-administration studies have recently employed progressive ratio (PR) schedules to examine psychostimulant and opiate reinforcement. This review addresses the technical, statistical, and theoretical issues related to the use of the PR schedule in self-administration studies in rats. Session parameters adopted for use in our laboratory and the considerations relevant to them are described. The strengths and weaknesses of the PR schedule are also discussed.
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            Habenular α5* nicotinic receptor signaling controls nicotine intake

            Genetic variation in CHRNA5, the gene encoding the α5 nicotinic acetylcholine receptor (nAChR) subunit, increases vulnerability to tobacco addiction and lung cancer, but underlying mechanisms are unknown. Here, we report dramatically increased nicotine consumption in mice with null mutation in Chrna5. This effect was `rescued' in knockout mice by re-expressing α5 subunits in medial habenula (MHb), and recapitulated in rats through α5 subunit knockdown in MHb. Remarkably, α5 subunit knockdown in MHb did not alter the rewarding effects of nicotine but abolished the inhibitory effects of higher nicotine doses on brain reward systems. The MHb extends projections almost exclusively to the interpeduncular nucleus (IPN). We found diminished IPN activation in response to nicotine in α5 knockout mice and disruption of IPN signaling increased nicotine intake in rats. Our findings suggest that nicotine activates the habenulo-interpeduncular pathway through α5-containing nAChRs, triggering an inhibitory motivational signal that acts to limit nicotine intake.
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              The Genetics of Alcohol Metabolism: Role of Alcohol Dehydrogenase and Aldehyde Dehydrogenase Variants

              The primary enzymes involved in alcohol metabolism are alcohol dehydrogenase (ADH) and aldehyde dehydrogenase (ALDH). Both enzymes occur in several forms that are encoded by different genes; moreover, there are variants (i.e., alleles) of some of these genes that encode enzymes with different characteristics and which have different ethnic distributions. Which ADH or ALDH alleles a person carries influence his or her level of alcohol consumption and risk of alcoholism. Researchers to date primarily have studied coding variants in the ADH1B, ADH1C, and ALDH2 genes that are associated with altered kinetic properties of the resulting enzymes. For example, certain ADH1B and ADH1C alleles encode particularly active ADH enzymes, resulting in more rapid conversion of alcohol (i.e., ethanol) to acetaldehyde; these alleles have a protective effect on the risk of alcoholism. A variant of the ALDH2 gene encodes an essentially inactive ALDH enzyme, resulting in acetaldehyde accumulation and a protective effect. It is becoming clear that noncoding variants in both ADH and ALDH genes also may influence alcohol metabolism and, consequently, alcoholism risk; the specific nature and effects of these variants still need further study.
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                Author and article information

                Contributors
                hchen@uthsc.edu
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                24 December 2018
                24 December 2018
                2018
                : 8
                : 18069
                Affiliations
                [1 ]ISNI 0000 0004 0386 9246, GRID grid.267301.1, Department of Pharmacology, , University of Tennessee Health Science Center, ; Memphis, TN 38103 USA
                [2 ]ISNI 0000 0001 2107 4242, GRID grid.266100.3, Department of Psychiatry, , University of California San Diego, ; La Jolla, CA 92093 USA
                [3 ]ISNI 0000 0001 2185 3318, GRID grid.241167.7, Department of Internal Medicine, , Section on Molecular Medicine, Wake Forest School of Medicine, ; Winston-Salem, NC 27157 USA
                [4 ]ISNI 0000 0001 2107 4242, GRID grid.266100.3, Institute for Genomic Medicine, , University of California San Diego, ; La Jolla, CA 92093 USA
                Author information
                http://orcid.org/0000-0003-3634-0747
                http://orcid.org/0000-0002-2680-6921
                Article
                36263
                10.1038/s41598-018-36263-w
                6305389
                30584246
                52d6b6bc-339c-4027-ab10-55f99622b09d
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 30 January 2018
                : 19 November 2018
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000026, U.S. Department of Health & Human Services | NIH | National Institute on Drug Abuse (NIDA);
                Award ID: DA-026894
                Award ID: DA-026894
                Award ID: DA-026894
                Award Recipient :
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